Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "170" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 54 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 52 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459869 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 3.465243 | 20.621554 | -0.140959 | 6.573448 | 12.250503 | 9.396401 | 1.111189 | 3.334731 | 0.7095 | 0.6776 | 0.3859 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 36.964576 | 54.842383 | 3.970834 | 7.568327 | 19.885349 | 12.266356 | 7.227314 | 29.035805 | 0.6015 | 0.5746 | 0.3230 | nan | nan |
| 2459867 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.081153 | 42.905880 | -0.106663 | 5.717081 | 9.740025 | 8.277708 | 3.946101 | 17.138750 | 0.6836 | 0.5655 | 0.3785 | nan | nan |
| 2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 35.193006 | 56.163263 | 3.450403 | 6.096845 | 11.832743 | 8.664190 | 4.110027 | 0.592410 | 0.6121 | 0.5361 | 0.2766 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.893106 | 54.947007 | 20.529057 | 7.140560 | 19.591279 | 12.215864 | 5.080210 | 3.746717 | 0.6911 | 0.6082 | 0.3529 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.032949 | 5.863161 | -0.877835 | -1.165106 | -0.554437 | -0.293464 | 18.762683 | 13.565444 | 0.6874 | 0.6695 | 0.4227 | nan | nan |
| 2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.944625 | 2.708419 | -0.147153 | -0.066334 | 0.372839 | -0.159678 | 18.397309 | 6.058095 | 0.6806 | 0.6588 | 0.4140 | nan | nan |
| 2459862 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.301899 | 2.828439 | -1.173751 | -1.367870 | 0.818070 | -0.118674 | 8.019954 | 3.042046 | 0.6636 | 0.6847 | 0.4307 | nan | nan |
| 2459861 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459860 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.762336 | 1.072967 | -0.350356 | -0.871545 | 1.491201 | -1.016090 | 12.291261 | 2.804558 | 0.7032 | 0.6750 | 0.4194 | nan | nan |
| 2459859 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.403033 | 1.542983 | -0.528297 | 0.051205 | -0.623186 | 0.367675 | 13.477867 | 2.782516 | 0.7060 | 0.6780 | 0.4196 | nan | nan |
| 2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.315191 | 1.273564 | -0.566082 | -0.043641 | -0.598497 | 0.495423 | 12.425536 | 2.778231 | 0.7240 | 0.6905 | 0.4314 | 3.130479 | 2.798645 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.460462 | 0.797869 | 0.106939 | -0.138821 | 2.781231 | 0.628361 | 3.582302 | 0.407517 | 0.0252 | 0.0253 | 0.0004 | nan | nan |
| 2459856 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.933470 | 1.974771 | 0.299626 | -0.824819 | 0.219724 | 0.213082 | 9.171490 | 2.419900 | 0.7153 | 0.7044 | 0.4206 | 3.144971 | 2.647397 |
| 2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.995234 | 2.648959 | 0.030292 | -1.163855 | 0.552871 | -0.561387 | 7.203703 | 1.648901 | 0.6892 | 0.7164 | 0.4583 | 3.538127 | 2.776068 |
| 2459854 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.576347 | 1.425031 | 0.433705 | -0.249217 | -0.284695 | -0.572612 | 7.577436 | 3.001385 | 0.7051 | 0.7348 | 0.4589 | 3.104979 | 2.633435 |
| 2459853 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.956676 | 1.439320 | 0.883911 | -0.042041 | -0.427972 | -0.589497 | 11.181394 | 4.606093 | 0.7318 | 0.6931 | 0.4409 | 3.326111 | 2.915951 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 1.62% | 0.402174 | 0.258055 | 0.983712 | 0.160043 | 0.083308 | -1.094251 | 1.039478 | 0.072795 | 0.8238 | 0.8330 | 0.2465 | 3.307297 | 3.017993 |
| 2459851 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.424004 | 1.161042 | -0.608262 | -0.462656 | -0.296434 | -0.931245 | 2.407285 | 4.768628 | 0.7372 | 0.7578 | 0.3685 | 3.090480 | 2.688169 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | 0.723298 | 1.741178 | -0.729669 | -0.575334 | -0.716451 | -1.063471 | 2.737204 | 1.282110 | 0.7326 | 0.7495 | 0.3777 | 1.434277 | 1.292784 |
| 2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.859644 | 1.752321 | 8.422402 | -0.927166 | -0.066174 | -0.456299 | 2.061267 | 2.637604 | 0.7237 | 0.7503 | 0.3982 | 3.567075 | 2.737296 |
| 2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.690948 | 1.615124 | 7.802833 | -0.836330 | 0.193161 | 0.786692 | 9.894611 | 13.338281 | 0.7266 | 0.6865 | 0.4456 | 3.854205 | 2.949470 |
| 2459846 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.113348 | 1.473106 | 6.426188 | -0.774004 | 0.398826 | -0.644624 | 1.339633 | 1.009461 | 0.8250 | 0.6630 | 0.5188 | 4.350411 | 4.303622 |
| 2459845 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.107359 | 2.507345 | 11.206499 | 0.020633 | -0.451260 | -0.443804 | 11.891099 | 3.082946 | 0.7439 | 0.7429 | 0.3868 | 8.229951 | 8.600551 |
| 2459844 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.144275 | -0.331965 | 3.576459 | -0.736394 | 4.293886 | -0.536278 | 0.818267 | 0.264508 | 0.0253 | 0.0252 | 0.0006 | nan | nan |
| 2459843 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.342278 | 5.415960 | 18.847458 | 17.338930 | 67.321802 | 74.702590 | -1.761927 | -2.530290 | 0.7333 | 0.7394 | 0.4193 | 3.351275 | 2.737235 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.641631 | 0.296588 | -0.000934 | -1.080757 | -1.844505 | -2.857763 | -1.858878 | -1.770527 | 0.7458 | 0.6800 | 0.2724 | 2.007973 | 1.810673 |
| 2459841 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 37.137721 | 41.711651 | 115.584111 | 114.087261 | 92.531169 | 146.622480 | 14.392775 | 15.153086 | 0.7433 | 0.7424 | 0.3653 | nan | nan |
| 2459839 | digital_ok | 100.00% | - | - | - | - | - | 0.275569 | 0.252944 | 1.645791 | -0.976792 | 7.722395 | 14.325191 | 10.138836 | 7.839596 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.058358 | 3.733510 | 22.647202 | 19.707248 | 13.877214 | 14.879790 | -1.794332 | -0.871472 | 0.7051 | 0.6920 | 0.4469 | 0.000000 | 0.000000 |
| 2459836 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7081 | 0.6665 | 0.3982 | nan | nan |
| 2459835 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.831937 | 5.180566 | 12.257460 | 11.895307 | 8.050137 | 11.208232 | -7.117552 | -5.149016 | 0.7900 | 0.5844 | 0.4977 | nan | nan |
| 2459833 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.791556 | 15.567211 | 53.641775 | 52.229483 | 70.206269 | 94.479965 | -3.396488 | -4.803085 | 0.7974 | 0.5534 | 0.5096 | nan | nan |
| 2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.240879 | 12.434884 | 18.178340 | 16.187023 | 10.937354 | 7.110400 | -0.289237 | -0.271709 | 0.7925 | 0.4980 | 0.6045 | 4.667149 | 3.377478 |
| 2459831 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.012054 | -0.225076 | 1.322574 | -1.077405 | 5.028924 | 6.544453 | 6.400153 | 3.564657 | 0.0273 | 0.0284 | 0.0016 | nan | nan |
| 2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 16.393896 | 13.528823 | 24.063842 | 21.576111 | 31.268247 | 23.939831 | -3.493913 | -4.359996 | 0.7889 | 0.4971 | 0.5872 | 5.052066 | 3.707016 |
| 2459829 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 527.888624 | 528.153479 | inf | inf | 7557.200320 | 7651.921300 | 19793.169681 | 20625.073114 | nan | nan | nan | 0.000000 | 0.000000 |
| 2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.524138 | 12.527109 | 18.303187 | 16.540631 | 29.806492 | 23.210966 | -1.485292 | -3.030671 | 0.7799 | 0.5035 | 0.5635 | 4.512433 | 2.884583 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.150799 | 7.777593 | 30.418514 | 27.180439 | 19.215497 | 17.158518 | -1.115014 | -1.960741 | 0.7332 | 0.6563 | 0.4485 | 8.261321 | 6.132683 |
| 2459826 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 14.438864 | 12.071480 | 24.575115 | 22.360357 | 39.263803 | 30.987109 | 1.179582 | 2.064463 | 0.7736 | 0.5293 | 0.5392 | 6.705210 | 4.178793 |
| 2459825 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 15.725816 | 12.926708 | 18.999958 | 17.118648 | 22.147661 | 17.439482 | -0.519779 | -1.086413 | 0.7673 | 0.5163 | 0.5510 | 0.000000 | 0.000000 |
| 2459824 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.149097 | 4.172147 | 26.640928 | 23.507634 | 11.759228 | 14.076100 | 8.446335 | 8.404508 | 0.6603 | 0.7080 | 0.4301 | 0.000000 | 0.000000 |
| 2459823 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 18.819777 | 15.931121 | 20.764973 | 19.070924 | 27.342136 | 25.008653 | 14.459468 | 11.972770 | 0.7125 | 0.6015 | 0.5189 | 0.000000 | 0.000000 |
| 2459822 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 17.142712 | 14.344994 | 22.909067 | 20.854588 | 25.216518 | 21.150668 | 0.158114 | -0.013606 | 0.7586 | 0.5311 | 0.5406 | 0.000000 | 0.000000 |
| 2459821 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 18.638006 | 16.328556 | 22.492394 | 20.823319 | 23.430339 | 20.758669 | 2.438136 | 2.734710 | 0.7417 | 0.5275 | 0.5372 | 4.499841 | 4.270397 |
| 2459820 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.129973 | 9.601153 | 27.578070 | 24.668724 | 53.736518 | 46.551655 | -3.445187 | -4.449629 | 0.7317 | 0.6500 | 0.4568 | 0.000000 | 0.000000 |
| 2459817 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 18.365832 | 15.987677 | 18.770810 | 17.278572 | 29.753740 | 26.882556 | 2.418414 | 3.719126 | 0.7443 | 0.5635 | 0.5281 | 0.381286 | 0.390337 |
| 2459816 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 12.873160 | 10.813053 | 27.491647 | 24.333597 | 39.031705 | 33.604327 | -4.263506 | -3.113818 | 0.8169 | 0.5467 | 0.6188 | 3.391211 | 2.811788 |
| 2459815 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | 20.621554 | 3.465243 | 20.621554 | -0.140959 | 6.573448 | 12.250503 | 9.396401 | 1.111189 | 3.334731 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | 54.842383 | 36.964576 | 54.842383 | 3.970834 | 7.568327 | 19.885349 | 12.266356 | 7.227314 | 29.035805 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | 42.905880 | 6.081153 | 42.905880 | -0.106663 | 5.717081 | 9.740025 | 8.277708 | 3.946101 | 17.138750 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | 56.163263 | 56.163263 | 35.193006 | 6.096845 | 3.450403 | 8.664190 | 11.832743 | 0.592410 | 4.110027 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | 54.947007 | 9.893106 | 54.947007 | 20.529057 | 7.140560 | 19.591279 | 12.215864 | 5.080210 | 3.746717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 18.762683 | 5.863161 | 2.032949 | -1.165106 | -0.877835 | -0.293464 | -0.554437 | 13.565444 | 18.762683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 18.397309 | 0.944625 | 2.708419 | -0.147153 | -0.066334 | 0.372839 | -0.159678 | 18.397309 | 6.058095 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 8.019954 | 2.301899 | 2.828439 | -1.173751 | -1.367870 | 0.818070 | -0.118674 | 8.019954 | 3.042046 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 12.291261 | 1.762336 | 1.072967 | -0.350356 | -0.871545 | 1.491201 | -1.016090 | 12.291261 | 2.804558 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 13.477867 | 1.403033 | 1.542983 | -0.528297 | 0.051205 | -0.623186 | 0.367675 | 13.477867 | 2.782516 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 12.425536 | 1.273564 | 0.315191 | -0.043641 | -0.566082 | 0.495423 | -0.598497 | 2.778231 | 12.425536 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 3.582302 | 0.797869 | 1.460462 | -0.138821 | 0.106939 | 0.628361 | 2.781231 | 0.407517 | 3.582302 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 9.171490 | 0.933470 | 1.974771 | 0.299626 | -0.824819 | 0.219724 | 0.213082 | 9.171490 | 2.419900 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 7.203703 | 2.648959 | 1.995234 | -1.163855 | 0.030292 | -0.561387 | 0.552871 | 1.648901 | 7.203703 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 7.577436 | 1.425031 | 1.576347 | -0.249217 | 0.433705 | -0.572612 | -0.284695 | 3.001385 | 7.577436 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 11.181394 | 1.439320 | 0.956676 | -0.042041 | 0.883911 | -0.589497 | -0.427972 | 4.606093 | 11.181394 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 1.039478 | 0.402174 | 0.258055 | 0.983712 | 0.160043 | 0.083308 | -1.094251 | 1.039478 | 0.072795 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Discontinuties | 4.768628 | 0.424004 | 1.161042 | -0.608262 | -0.462656 | -0.296434 | -0.931245 | 2.407285 | 4.768628 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 2.737204 | 0.723298 | 1.741178 | -0.729669 | -0.575334 | -0.716451 | -1.063471 | 2.737204 | 1.282110 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 8.422402 | 1.752321 | 0.859644 | -0.927166 | 8.422402 | -0.456299 | -0.066174 | 2.637604 | 2.061267 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Discontinuties | 13.338281 | 1.615124 | 0.690948 | -0.836330 | 7.802833 | 0.786692 | 0.193161 | 13.338281 | 9.894611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 6.426188 | 1.113348 | 1.473106 | 6.426188 | -0.774004 | 0.398826 | -0.644624 | 1.339633 | 1.009461 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Discontinuties | 11.891099 | 2.507345 | 1.107359 | 0.020633 | 11.206499 | -0.443804 | -0.451260 | 3.082946 | 11.891099 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Shape | 13.144275 | 13.144275 | -0.331965 | 3.576459 | -0.736394 | 4.293886 | -0.536278 | 0.818267 | 0.264508 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Variability | 74.702590 | 5.415960 | 8.342278 | 17.338930 | 18.847458 | 74.702590 | 67.321802 | -2.530290 | -1.761927 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Shape | 1.641631 | 1.641631 | 0.296588 | -0.000934 | -1.080757 | -1.844505 | -2.857763 | -1.858878 | -1.770527 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Variability | 146.622480 | 37.137721 | 41.711651 | 115.584111 | 114.087261 | 92.531169 | 146.622480 | 14.392775 | 15.153086 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Variability | 14.325191 | 0.252944 | 0.275569 | -0.976792 | 1.645791 | 14.325191 | 7.722395 | 7.839596 | 10.138836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 22.647202 | 3.733510 | 7.058358 | 19.707248 | 22.647202 | 14.879790 | 13.877214 | -0.871472 | -1.794332 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 12.257460 | 5.180566 | 4.831937 | 11.895307 | 12.257460 | 11.208232 | 8.050137 | -5.149016 | -7.117552 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Variability | 94.479965 | 15.567211 | 14.791556 | 52.229483 | 53.641775 | 94.479965 | 70.206269 | -4.803085 | -3.396488 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 18.178340 | 15.240879 | 12.434884 | 18.178340 | 16.187023 | 10.937354 | 7.110400 | -0.289237 | -0.271709 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Temporal Variability | 6.544453 | -0.012054 | -0.225076 | 1.322574 | -1.077405 | 5.028924 | 6.544453 | 6.400153 | 3.564657 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 31.268247 | 16.393896 | 13.528823 | 24.063842 | 21.576111 | 31.268247 | 23.939831 | -3.493913 | -4.359996 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Power | inf | 528.153479 | 527.888624 | inf | inf | 7651.921300 | 7557.200320 | 20625.073114 | 19793.169681 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 29.806492 | 12.527109 | 14.524138 | 16.540631 | 18.303187 | 23.210966 | 29.806492 | -3.030671 | -1.485292 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 30.418514 | 11.150799 | 7.777593 | 30.418514 | 27.180439 | 19.215497 | 17.158518 | -1.115014 | -1.960741 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 39.263803 | 12.071480 | 14.438864 | 22.360357 | 24.575115 | 30.987109 | 39.263803 | 2.064463 | 1.179582 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 22.147661 | 12.926708 | 15.725816 | 17.118648 | 18.999958 | 17.439482 | 22.147661 | -1.086413 | -0.519779 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Power | 26.640928 | 8.149097 | 4.172147 | 26.640928 | 23.507634 | 11.759228 | 14.076100 | 8.446335 | 8.404508 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 27.342136 | 15.931121 | 18.819777 | 19.070924 | 20.764973 | 25.008653 | 27.342136 | 11.972770 | 14.459468 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 25.216518 | 17.142712 | 14.344994 | 22.909067 | 20.854588 | 25.216518 | 21.150668 | 0.158114 | -0.013606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 23.430339 | 16.328556 | 18.638006 | 20.823319 | 22.492394 | 20.758669 | 23.430339 | 2.734710 | 2.438136 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 53.736518 | 13.129973 | 9.601153 | 27.578070 | 24.668724 | 53.736518 | 46.551655 | -3.445187 | -4.449629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 29.753740 | 18.365832 | 15.987677 | 18.770810 | 17.278572 | 29.753740 | 26.882556 | 2.418414 | 3.719126 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | ee Temporal Variability | 39.031705 | 10.813053 | 12.873160 | 24.333597 | 27.491647 | 33.604327 | 39.031705 | -3.113818 | -4.263506 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 170 | N15 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |